The Problem
An industrial company manages hundreds of daily maintenance work orders for technical equipment. Validating each order — checking if technicians were dispatched to the right devices, whether process deviations exist — was handled manually by experienced staff. This was slow, expensive, and error-prone. Anomalies often went undetected until they caused real failures.
The Solution
We built an AI evaluation system with FastAPI as the backend and LangChain for LLM orchestration. 15+ specialized REST endpoints accept work order data and analyze it against defined tolerance thresholds.
A central endpoint automatically detects deviations of 20%+ from the target process and immediately escalates these to the responsible technician workflow.
The connected real-time dashboard gives ops teams immediate visibility across all running orders, anomalies, and technician workload.
The Results
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